





'''simple docstring'''






from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap






def   __A    (				a_    :	Union[str, Any]						):
		return getitem, k






def   __A    (				a_    :	int   ,a_    :	Dict						):
		return setitem, k, v






def   __A    (				a_    :	Optional[Any]						):
		return delitem, k






def   __A    (				a_    :	Optional[int]   ,a_    :	Dict   ,*a_    :	Tuple						):
		try:
				return fun(a_   ,*a_						), None
		except Exception as e:
				return None, e


lowerCAmelCase									=   (
    _set("""key_a""", """val_a"""),
    _set("""key_b""", """val_b"""),
)

lowerCAmelCase									=   [
    _set("""key_a""", """val_a"""),
    _set("""key_a""", """val_b"""),
]

lowerCAmelCase									=   [
    _set("""key_a""", """val_a"""),
    _set("""key_b""", """val_b"""),
    _del("""key_a"""),
    _del("""key_b"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
]

lowerCAmelCase									=   [
    _get("""key_a"""),
    _del("""key_a"""),
    _set("""key_a""", """val_a"""),
    _del("""key_a"""),
    _del("""key_a"""),
    _get("""key_a"""),
]

lowerCAmelCase									=   [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

lowerCAmelCase									=   [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set("""key_a""", """val_b"""),
]






@pytest.mark.parametrize(
    "operations"   ,(
        pytest.param(_add_items   ,id="add items"						),
        pytest.param(_overwrite_items   ,id="overwrite items"						),
        pytest.param(_delete_items   ,id="delete items"						),
        pytest.param(_access_absent_items   ,id="access absent items"						),
        pytest.param(_add_with_resize_up   ,id="add with resize up"						),
        pytest.param(_add_with_resize_down   ,id="add with resize down"						),
    )   ,)
def   __A    (				a_    :	List[str]						):
		lowerCAmelCase  :     int       						= HashMap(initial_block_size=4						)
		lowerCAmelCase  :     Any       						= {}
		for _, (fun, *args) in enumerate(a_						):
				lowerCAmelCase						,		lowerCAmelCase  :     Any       						= _run_operation(a_   ,a_   ,*a_						)
				lowerCAmelCase						,		lowerCAmelCase  :     int       						= _run_operation(a_   ,a_   ,*a_						)
				assert my_res == py_res
				assert str(a_						) == str(a_						)
				assert set(a_						) == set(a_						)
				assert len(a_						) == len(a_						)
				assert set(my.items()						) == set(py.items()						)






def   __A    (				):
		def is_public(a_    :	str						) -> bool:
				return not name.startswith("_"						)

		lowerCAmelCase  :     List[Any]       						= {name for name in dir({}						) if is_public(a_						)}
		lowerCAmelCase  :     Any       						= {name for name in dir(HashMap()						) if is_public(a_						)}

		assert dict_public_names > hash_public_names










'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase									=   {
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase									=   [
					    """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """GraphormerForGraphClassification""",
					    """GraphormerModel""",
					    """GraphormerPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_graphormer import (
										    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GraphormerForGraphClassification,
										    GraphormerModel,
										    GraphormerPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase									=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



